3 PhD Students in Self-Learning Dynamic Systems Royal Institute of Technology, Department of Regulatory Technology

Up to 3 PhD students in self-learning dynamic systems


Royal Institute of Technology,


KTH is one of Europe's leading technical universities and an important arena for knowledge development. As Sweden's largest university of technical research and education, we gather students, researchers and faculty from around the world. Our research and education covers both natural sciences and all branches of technology as well as architecture, industrial economics, social planning, technical history and philosophy.


Department of Regulatory Technologyconducts research in system identification, control technology, machine learning and optimization of dynamic systems with applications in autonomous systems, network-based systems, process control, bioprocess management, robotics and system security. The staff has an international background and the working language is English. The department is internationally well established and participates in many European and national research centers and projects. Industrial projects are conducted in cooperation with ABB Corporate Research, ABB Process Automation, BillerudKorsnäs, Ericsson Research and Scania. We have a large academic network and collaborate with researchers at MIT, UC Berkeley, Stanford University, TU Eindhoven and Université de Lyon. Control technology and automation at KTH was ranked 12th in the world in recent ARWU Shanghai ranking.


KTH offers an attractive working environment, generous salary and other employment benefits.


project Description


Powerful computers, new sensors and high efficiency communication technology have opened the door to make technical systems self-learning. The advantage of such systems is that they are meant to be able to handle situations that were not predicted when the system was constructed. Together with researchers from the Department of Information Technology, Uppsala University and with the strong support of the Swedish Research Council, we are now building the NewLEADS research environment on self-learning dynamic systems, using applications in robotics, smart buildings, autonomous craft and bioprocess technology. We focus on theory development regarding some of the most critical aspects of model-based learning of dynamic systems using sensor data, namely: i) use of computer-intensive statistical methods to handle unknown quantities such as measuring noise,


NewLEADS consists of 7 senior researchers, complemented by postdoctoral and postgraduate students. As a PhD student in this research environment, you will be supervised by researchers from both universities, having the opportunity for international research, as well as attending conferences and other activities that can extend your professional network and benefit your future career.


Within the project, there will be good opportunities to interact with Wallenberg Autonomous Systems and Software Program (WASP). WASP is Sweden's largest single research program in engineering science ever and offers a platform for academic research and education in collaboration with Sweden's leading technology company. The program is aimed at research on autonomous systems and software in cooperation with man, where the systems can adapt to their surroundings through sensors, information and knowledge. Two of the senior researchers in NewLEADS are also project managers in WASP.


For the service in question, it will be possible to become affiliated with the WASP graduate school. The program offers state-of-the-art knowledge in the field and courses are taught by leading experts in the field. Through an ambitious program of researcher exchanges, partner university, and guest lecturers, the graduate school supports the development of a strong multidisciplinary and international network between doctoral students, researchers and industry. 




Applicants must hold or soon hold a Master's degree or a Master of Science degree in Electrical Engineering, Technical Physics or Computer Engineering.


The applicant should have excellent academic qualifications and well-developed analytical skills and problem solving skills. We are looking for highly motivated candidates who can work both independently and with others. Good knowledge of English in spelling and writing is necessary to publish and present research results in international conferences and journals.


Union representatives

You will find contact information for union representatives on the KTH website . 




You apply through KTH's recruitment tool. You as the applicant have the primary responsibility for your application being complete when it is submitted. Your complete application must be KTH at the latest by the closing date for the application period.


The application must contain the following:

  1. CV including relevant professional experience and knowledge.

  2. Copies of diplomas and grades from your previous university studies. Translations to English or Swedish about original documents are not issued in one of these languages. 

  3. Brief explanation of why you want to conduct research studies, about your academic interests and how they relate to your past studies and future goals; max 2 pages long.

  4. Representative publications or technical reports: Document no more than 10 pages each. For longer documents (eg dissertations), attach a summary (abstract) and a web link to the full text.

  5. Letters of recommendation.

  6. Contact information for two reference persons. We reserve the right to contact referrals only for selected candidates.


All information should be uploaded as a single pdf file.



The employment is time-limited according to the regulations for doctoral employment in the Higher Education Ordinance (~ 4.5 years at 90% research and 10% institutional service which also involves teaching).


We discourage direct contact with staffing and recruitment companies as well as sales adverts.


Type of employment

Fixed-term employment longer than 6 months

Extent of employment



By agreement, preferably as soon as possible


Monthly salary according to KTH's agreement for doctoral salaries

Number of vacancies


employment rate





Stockholm County






  • Håkan Hjalmarsson, Professor, hakan.hjalmarsson@ee.kth.se, +46 70 230 74 91

  • Cristian Rojas, Senior Lecturer, crro@kth.se, +46 8 790 74 27

  • Bo Wahlberg, professor, bo@kth.se, +46 8 790 72 42

  • Mikael Visén, Human Resources Administrator, Rekrytering@ee.kth.se, +46 8 790 84 89



Application deadline



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